Sentence examples for characterization of the network from inspiring English sources
Characterization of the network was performed and proved that an efficacious crosslinking was reached depending on the nature of the cations.
We performed a detailed characterization of the network architecture within engineered tissues that is relevant for graft assessment before implantation as well as for in vitro screening of angiogenic modulators using three-dimensional models.
In this chapter we present an overview on the computational aspects of bone tissue engineering, with particular emphasis on the recent mechanobiological based finite element models, as well as on novel aspects regarding the numerical characterization of the network of scaffold voids.
In particular, we provide a characterization of the network revealing several of its structural properties.
The k-core decomposition provides a highly detailed topological characterization of the network, if, besides the total number of shells, the distribution of the nodes over the shells and inter- and intra-shell connectivity [48] are also taken into account.
In particular, the absence of cancer-specific functional gene/protein networks and the lack of further characterization of the network behavior (e.g, network robustness [8] under perturbation) makes it difficult to design an accurate perturbation strategy [6], [9].
The measurement of the soluble polymer fraction in the different samples allowed a more detailed characterization of the networks to be carried out, following a molecular approach by Pearson and Graessley.
These trials were included in the ICA, because the additional data points that they provide improve the characterization of the networks, but we did not submit these trials to the subsequent general linear model (GLM) because these trials were not relevant to the experimental question being addressed.
Both theoretical analysis and simulation results show that features of queuing delay vary with distribution characterizations of the network tasks.
This method generates samples from multiple runs of simulation, and statistics properties are calculated from the simulation trajectories, which provide characterizations of the network [ 13, 14, 20, 21].
